供稿: 李建林;王泓斐;王登磊;李志强 | 时间: 2018-06-22 | 次数: |
作者单位:河南理工大学资源环境学院;中原经济区煤层(页岩)气河南省协同创新中心;中煤河南新能开发有限公司王行庄矿
摘要:针对脆弱性指数法在煤矿底板突水预测中主控指标选择和权重确定具有较大主观性的问题,提出了分形-脆弱性指数法,即以单位涌水量、含水层渗透系数、含水层水压及隔水层有效厚度4个主控因素量化含水层和隔水层的性质,以断层分维量化断层的综合性质,利用层次分析法确定以上5个主控因素权重,利用GIS进行权重叠加。并用该法对王行庄矿二1煤层底板太原组L1-4灰岩含水层突水危险性进行了预测。结果显示,王行庄矿二1煤层底板脆弱区位于矿山西北部,占全区面积的10.38%,且实测突水点位于预测分区图的脆弱区。分形-脆弱性指数法减少了主控因素的数量(以往研究对断层的量化至少需要3个指标),提高了模型预测精度,可以更好地指导煤矿安全生产。
基金:国家自然科学基金资助项目(41672240,41573095);河南省自然科学基金资助项目(182300410155);河南省高等学校重点科研项目(16A170010);河南省高校科技创新团队计划项目(15IRTSTHN027);
关键词:分形-脆弱性指数法;底板突水预测;分维;王行庄煤矿;
Abstract:In view of both selection of main control factors and their weights determination, which have a greater subjectivity in the forecasting process of water inrush from coal mine floor, using the vulnerability index method, fractal-vulnerability index method was put forward. Wangxingzhuang mine was used as an example to evaluate the water inrush risk of limestone aquifer L1-4in the lower section of Taiyuan formation in coal seam B1based on the fractal-vulnerability index method. It was the four main control factors, i. e. the water pressure in the lower limestone aquifer, the permeability of the limestone aquifer in the lower part of Taiyuan formation, the unit water inflow, and the equivalent thickness of the effective water barrier, that were used to quantify the properties of the aquifer and the aquifuge. With fault fractal dimension, the comprehensive nature of faults could be quantitatively quantified. The weights of the above five main control factors were determined by AHP, and the zoning maps were obtained with GIS. The results showed that the fragile area were mainly located in the northwest of the study area. Therefore, Moreover, the measured water burst was located in the fragile area of the predicted zoning map. The fractal-vulnerability index method reduces the number of main control factors ( the previous studies at least require three factors to quantify the fault) , which can improve the prediction accuracy of coal mine floor water inrush.
Keyword:fractal-vulnerability index method;floor water inrush prediction;fractal dimension;Wangxing zhuang mine;
DOI:10.16186/j.cnki.1673-9787.2018.03.4
分类号:TD745